Summary
NVIDIA Research is inviting talented doctoral students to apply for the AI-Mediated Reality and Interaction (AMRI) Research PhD Internship. This prestigious opportunity is designed for creative and self-driven PhD researchers aiming to conduct fundamental research in Interactive Embodied AI, 4D world modeling, robotics, and human-AI interaction. Interns collaborate closely with world-leading scientists and contribute to breakthrough technologies that feed directly into NVIDIA ecosystems such as Omniverse, Isaac, DLSS, NuRec, AI4Media, and Metropolis.
Designation
- Role: Research Intern (PhD Level)
- Research Group: AI-Mediated Reality and Interaction (AMRI) Group
- Hosting Organization: NVIDIA Research
Quick Overview Table
| Feature | Details |
| Host Organization | NVIDIA Research |
| Program Type | PhD Research Internship / Fellowship |
| Target Level | Current PhD / Doctoral Students |
| Funding Status | Fully Funded / Highly Paid Internship |
| Location | NVIDIA Research Labs (United States / Global Hybrid Options) |
| Application Mode | Direct Email Submission |
| Deadline | Rolling Basis / Open until filled |
Research Area
The AMRI group focuses on building interactive embodied AI capable of operating safely, collaboratively, and socially in dynamic 4D environments. Key research domains include:
- Interactive Embodied AI
- Human-AI Interaction & Human Behavior Understanding
- 4D World Modeling & Neural Rendering
- Computer Vision & Machine Learning
- Robotics & Simulation
- Computer Graphics & Accelerated Computing
Location
- NVIDIA Research Labs (Primary sites in North America / United States, with potential hybrid/on-site arrangements based on laboratory placement).
Eligibility / Qualifications
Educational Background:
- Must currently be enrolled in a PhD program in Computer Science (CS), Computer Engineering (CE), Electrical Engineering (EE), Physics, Mathematics, or a closely related quantitative field.
Academic & Research Requirements:
- Demonstrated track record of publications in top-tier conferences and venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, SIGGRAPH).
- Strong theoretical foundations and practical experience in Artificial Intelligence, Deep Learning, and Computer Vision (knowledge of Computer Graphics is a plus).
Technical Skills:
- Proficiency in deep learning frameworks, especially PyTorch.
- Advanced programming expertise in Python and C++.
- Familiarity with CUDA and GPU-accelerated computing.
- Excellent technical writing, communication, and collaborative skills.
Scholarship / Internship Description
During the internship, selected candidates will:
- Advance Frontier AI: Propose, prototype, and validate novel algorithms advancing state-of-the-art AI systems.
- Publish & Patent: Co-author papers for premier academic venues and contribute to intellectual property/patents.
- Product Impact & Tech Transfer: Work alongside engineering teams to transition novel models into flagship NVIDIA platforms (e.g., Isaac, Omniverse, DLSS, Metropolis).
- Mentorship & Compute Access: Receive 1-on-1 mentorship from top scientists while leveraging NVIDIA’s world-class supercomputing infrastructure.
How to Apply
Applications are submitted directly to the research team:
- Prepare Your Portfolio: Update your CV/Resume with a list of publications, relevant project links (e.g., GitHub, Google Scholar), and a summary of your specific research interests.
- Select Alignment: Identify the AMRI team lead or specific research staff member whose work best matches your doctoral focus.
- Submit via Email: Send an email directly to the respective team lead or research scientist.
- Required Email Subject Line:
Seeking Research Internship 2027 - Include your CV, research statement/fit summary, and links to relevant publications.
- Required Email Subject Line:
Last Date for Apply
- Application Deadline: Open / Rolling Basis (Early application is strongly recommended, as positions are filled as qualified candidates are accepted).
